Make ideas tangible.
Start where others can’t operate yet,
before dashboards, before workflows, before compliance.
IRL operates before outcomes are defined.
We prototype systems while possibilities are still open, testing how people relate, adapt, and respond.
This work happens in a laboratory environment where research and building are inseparable.
Ideas move quickly into form. Form is tested through use. Use informs the next iteration.
Some outputs become products. Some remain experiments. Some exist as ongoing research.
All of them are designed as ways of relating to systems,
not merely operating them.


IRL PLAYground is a study in education and play as interconnected infrastructures, and AI as civic intelligence.
It reimagines the classroom and the toy as parts of a single adaptive system — one that learns from itself through the continuous feedback of people, data, and materials.
Rather than treating software, toys, and educational content as separate products, IRL PLAYground unites them into a cyber-physical ecosystem: objects act as data interfaces, classrooms operate as learning networks, and AI coordinates complexity quietly in the background.
The result is an environment that rebalances in real time, enabling teachers, students, distributors, and manufacturers to co-produce value across a shared infrastructure.
The classroom is not a workflow, and the toy is not an object — both are protocols for learning.
IRL Proximity is a spatial research surface that turns Are.na blocks into programmable, multiplayer grids.
It sustains complexity instead of flattening it. Unlike “second brains” or productivity apps, it is a living interface where ideas are arranged in space, worked with in real time, and cultivated together. With full Are.na integration and ambient AI, Proximity transforms collecting into shared memory and living arguments.
Always a work in progress...
Optimised systems are rarely meaningful.
Explained technologies are rarely used.
IRL builds where meaning actually forms.